AMIA president's column: AMIA and HIT policy activities.
Author(s): Shortliffe, Edward H
DOI: 10.1136/amiajnl-2011-000353
Author(s): Shortliffe, Edward H
DOI: 10.1136/amiajnl-2011-000353
Accurate knowledge of a patient's medical problems is critical for clinical decision making, quality measurement, research, billing and clinical decision support. Common structured sources of problem information include the patient problem list and billing data; however, these sources are often inaccurate or incomplete.
Author(s): Wright, Adam, Pang, Justine, Feblowitz, Joshua C, Maloney, Francine L, Wilcox, Allison R, Ramelson, Harley Z, Schneider, Louise I, Bates, David W
DOI: 10.1136/amiajnl-2011-000121
Author(s): Rudin, Robert S
DOI: 10.1136/amiajnl-2011-000288
In the 6 years since the National Library of Medicine began monthly releases of RxNorm, RxNorm has become a central resource for communicating about clinical drugs and supporting interoperation between drug vocabularies.
Author(s): Nelson, Stuart J, Zeng, Kelly, Kilbourne, John, Powell, Tammy, Moore, Robin
DOI: 10.1136/amiajnl-2011-000116
The design and implementation of ImageMiner, a software platform for performing comparative analysis of expression patterns in imaged microscopy specimens such as tissue microarrays (TMAs), is described. ImageMiner is a federated system of services that provides a reliable set of analytical and data management capabilities for investigative research applications in pathology. It provides a library of image processing methods, including automated registration, segmentation, feature extraction, and classification, all of which [...]
Author(s): Foran, David J, Yang, Lin, Chen, Wenjin, Hu, Jun, Goodell, Lauri A, Reiss, Michael, Wang, Fusheng, Kurc, Tahsin, Pan, Tony, Sharma, Ashish, Saltz, Joel H
DOI: 10.1136/amiajnl-2011-000170
The evidence base for information technology (IT) has been criticized, especially with the current emphasis on translational science. The purpose of this paper is to present an analysis of the role of IT in the implementation of a geriatric education and quality improvement (QI) intervention.
Author(s): Weir, Charlene, McLeskey, Nanci, Brunker, Cherie, Brooks, Denise, Supiano, Mark A
DOI: 10.1136/amiajnl-2010-000076
Nearly a decade since the completion of the first draft of the human genome, the biomedical community is positioned to usher in a new era of scientific inquiry that links fundamental biological insights with clinical knowledge. Accordingly, holistic approaches are needed to develop and assess hypotheses that incorporate genotypic, phenotypic, and environmental knowledge. This perspective presents translational bioinformatics as a discipline that builds on the successes of bioinformatics and health [...]
Author(s): Sarkar, Indra Neil, Butte, Atul J, Lussier, Yves A, Tarczy-Hornoch, Peter, Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000245
Using an eight-dimensional model for studying socio-technical systems, a multidisciplinary team of investigators identified barriers and facilitators to clinical decision support (CDS) implementation in a community setting, the Mid-Valley Independent Physicians Association in the Salem, Oregon area. The team used the Rapid Assessment Process, which included nine formal interviews with CDS stakeholders, and observation of 27 clinicians. The research team, which has studied 21 healthcare sites of various sizes over [...]
Author(s): Ash, Joan S, Sittig, Dean F, Wright, Adam, McMullen, Carmit, Shapiro, Michael, Bunce, Arwen, Middleton, Blackford
DOI: 10.1136/amiajnl-2010-000013
We measured the prevalence (or rate) of patient-note mismatches (clinical notes judged to pertain to another patient) in the electronic medical record. The rate ranged from 0.5% (95% CI 0.2% to 1.7%) before a pop-up window intervention to 0.3% (95% CI 0.1% to 1.1%) after the intervention. Clinicians discovered patient-note mismatches in 0.05-0.03% of notes, or about 10% of actual mismatches. The reduction in rates after the intervention was statistically [...]
Author(s): Wilcox, Adam B, Chen, Yueh-Hsia, Hripcsak, George
DOI: 10.1136/amiajnl-2010-000068
Evidence suggests that the medication lists of patients are often incomplete and could negatively affect patient outcomes. In this article, the authors propose the application of collaborative filtering methods to the medication reconciliation task. Given a current medication list for a patient, the authors employ collaborative filtering approaches to predict drugs the patient could be taking but are missing from their observed list.
Author(s): Hasan, Sharique, Duncan, George T, Neill, Daniel B, Padman, Rema
DOI: 10.1136/amiajnl-2011-000106